Individualized recommendations for learning strategy use

被引:0
|
作者
Bull, S [1 ]
机构
[1] Univ Saskatchewan, Dept Comp Sci, ARIES Lab, Saskatoon, SK S7N 5A9, Canada
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D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes LS-LS: a system to raise awareness of language learning strategies to help students become more effective learners. The focus is the student model, which contains representations of learning style and current strategy use: information provided explicitly by the learner. LS-LS infers additional strategies of potential interest to an individual, based on the contents of their student model. It also suggests computational learning environments that a student might find useful to practise these new strategies, based on information provided by the (human) tutor about locally available software.
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页码:594 / 603
页数:10
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